![]() ![]() The Fundamentals series takes you from getting started in R, key data types, using logic, and loading datasets you’ll be doing some basic data cleaning and analysis along the way. The DSL R workshops have an open format, which are split into two workshop series. This is taken further by the Tidyverse ecosystem within R, that provides even easier to read code as well as excellent documentation. R is one of the best choices for data science and machine learning due to its wide pool of libraries for statistics, data manipulation and wrangling, data visualisation, and modelling it is used across many sectors such as finance, healthcare, technology and retail for these purposes. R is the gold standard choice for data visualisation in data science thanks to the ggplot2 library and its many extensions. R also has one of the best open-source Integrated Development Environments (IDE) available in RStudio, not only does it make programming in R easy, it makes it simple to create documents with your code and outputs in various output formats such as HTML, Word, Powerpoint, and PDF. ![]() ![]() R is simple to use and easy to read, this makes sharing your code easier and enables you to write your code faster. R is an open-source, widely used statistical programming language, that is easy to learn and, thanks to its many extensions, can be used as a general-purpose programming language. R was first released in 1993 and has since risen greatly in popularity, being used in academic institutions as well as companies such as the BBC, NHS, Google, Facebook, Twitter, Microsoft, Wellcome, Sanger Institute, New York Times and Mozilla. ![]()
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